Artificial Intelligence for Biology and Agriculture
S. Panigrahi, K.C. Ting
Springer Netherlands, Jun 30, 1998 - Technology & Engineering - 262 pages
and morphological identification of cotton fibers depicts the complexity and heterogeneities of the problems and their solutions. The development of a real-time orange grading systems in the article "Video grading of oranges in real-time" further reports the capability of computer vision technology to meet the demand of high quality food products. The integration of neural network technology with computer vision and fuzzy logic for defect-detection in eggs and identification of lettuce growth shows the power of hybridization of AI technologies to solve agricultural problems. Additional papers also focus on automated modeling of physiological processes during postharvest distribution of agricultural products, the applications of neural networks, fusion of AI technologies and three dimensional computer vision technologies for different problems ranging from botanical identification, cell migration analysis to food microstructure evaluation. This special issue "Artificial Intelligence in Biology and Agriculture" has been made possible due to the unconditional help, cooperation and time devotion from many people. We highly appreciate the contributions from the authors and their co-authors. We sincerely acknowledge all reviewers for taking time to review these articles. The reviewers were: Dr. Kuanglin Chao, Dr. Floyd E. Dowell, Dr. Laurent Gauthier, Dr. Paul H. Heinemann, Dr. Zhiwei Li, Dr. Bosoon Park, Dr. Jinglu Tan, Dr. Chi Ngoc Thai, Dr. Basant Ubhaya, Dr. Naiqian Zhang, Dr. Irfan Ahmad, Dr. David Vacaari, Dr. Young Han, Dr. Lary Kutz, Dr. David Slaughter, Dr. Digvir Jayas, Dr. Marvin Paulsen, Dr. George Hoogenboom, Dr. Mark Evans, Dr. Glen Kranzler, and Dr.
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About the Authors
H NI and S GUNASEKARAN A Computer Vision Method
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ACALA accuracy agent Agricultural algorithm application frame approach Artificial Intelligence automated modelling behavior binary image blood spot cell cheese chilling injury classification CLSM color computer vision convolution segments cotton fiber decomposition frames defects described Desimal detection neural network developed dynamic product model end-effector Engineering evaluation example fat globules feature vector Figure flat/c fruit fuzzy logic fuzzy rules Fuzzy Sets grade A eggs greenhouse harvesting histogram identification IEEE Trans image analysis image processing input knowledge graph Lithops Machine Vision manipulator mathematical model matrix measured membership functions method model fragment motion neural network models neuro-fuzzy node NUFZY model NUFZY system object orange output parameters pattern pixels plankton plant production primitive segments process frame process structure graph quantities region represent robot sample Section sensor sequence shape shreds simulation model specifies stem submodels subset subtask suction pad tomato validation variables voxel